The security gap in autonomous intelligence
International Security Journal hears exclusively from Derek Whigham, Non-Executive Director and Strategic Advisor of Acumen Cyber. Artificial intelligence has transformed from a co...
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International Security Journal hears exclusively from Derek Whigham, Non-Executive Director and Strategic Advisor of Acumen Cyber. Artificial intelligence has transformed from a co...
In mid-September 2025, engineers inside Anthropic's threat intelligence team noticed something that didn't fit the usual pattern of automated probing on their platform. Ten days of...
In February 2026, security researchers discovered that the SmartLoader malware operation had cloned a legitimate Model Context Protocol (MCP) server, one that connects artificial i...
The rapid evolution of artificial intelligence has ushered in the era of agentic AI systems.Continue reading on Medium »
AI agents are moving from demos into production fast — and every LLM call and external tool they invoke is a new attack surface. This post introduces Agent Runtime Protection in th...
Many companies have quickly moved to adopt artificial intelligence in their systems, embedding it into virtually everything from customer apps to internal systems. That speed has c...
Over the past several weeks, the cybersecurity community has been reminded how quickly frontier and agentic AI in defense networks can challenge our assumptions. When Anthropic's C...
Most cybersecurity discussions over the past decade have focused on scale. More users, more devices, more data moving across systems. AI agents introduce a different kind of proble...
Good report: Executive Summary: Let’s say you wanted to make sure that your AI is secure. Can you just maximize the security and privacy benchmark and call it a day? Nope, because...
AI agent security starts with a simple fact: the more authority an agent has, the tighter its access…
Presented by SnowflakeToo often, the history of enterprise security has been a history of making things harder to use. A new threat emerges, a new control gets bolted on, and somew...
Introduction Enterprise AI agent adoption has created a massive blind spot: 83% of organizations have no visibility into what their AI agents are doing, while 86% lack visibility...
Researchers determined AI has been used to identify security flaws, generate commands, and carry out parts of intrusions.
An international intelligence alliance is warning that artificial intelligence could soon enable highly capable cyberattacks against governments and businesses, potentially within...
The Computer Weekly Security Think Tank considers if Anthropic’s Claude Mythos frontier AI model is a benefit or barrier to achieving resilient enterprise IT security, and how secu...
Earlier this month, I spoke at the Gartner Security & Risk Management Summit about a blind spot most security programs are still not accounting for - how attackers are circumve...
Most of what AI promises in security rides on something duller than the model itself: whether it can see the environment it's defending. When it can't, a stronger model doesn't hel...
AI security agents are starting to influence real security decisions. They summarize findings, prioritize remediation, recommend next steps, and help teams move faster. But most st...
ISJ hears exclusively from Matt Wood, Head of Cyber Security Operations for ABBYY about the risks of scaling AI models without upgrading the human side. Can you tell me about ABBYY...
AI systems don’t stop needing protection once they go live. After launch, new risks emerge from changing data patterns, unauthorised access attempts, malicious inputs, and infrastr...
Modern AI systems are, in effect, a universal adviser to help people do harmful things. We’ll need to harness AI for defense, tooLast week, national security agencies from the Five...
The era of "typing into a box" is over. For years, we viewed artificial intelligence as a digital assistant—a sophisticated autocomplete tool that waited for human input. But accor...
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TL;DR: AI in cybersecurity helps organizations detect and stop threats faster by analyzing massive data in real time. It predicts attacks, reduces false alerts, and automates respo...
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